Python for Beginners

Learn Python like a Professional, Start from the basics and go all the way to creating your own applications.

19 sections • 81 lectures • 19hrs 45mins
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Python for Beginners
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Requirements


Although there are no hard prerequisites, attendees having prior programming experience and familiarity with basic concepts such as variables/scopes, flow-control, and functions would be beneficial.


Description

Whether you want to:
- build the skills you need to get your first Python programming job
- move to a more senior software developer position
- get started with Machine Learning, Data Science, Django, or other hot areas that Python specializes in
- or just learn Python to be able to create your own Python apps quickly.
…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.


Python:
Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. This course will cover both basic and advanced concepts of Python like writing python scripts, sequence and file operations in python, Machine Learning in Python, Web Scraping, Map Reduce in Python, Hadoop Streaming, Python UDF for Pig, and Hive. You will also go through important and most widely used packages like pydoop, pandas, scikit, NumPy, SciPy, etc.

Who this course is for:
All who wish to learn 'Python'.
High School / 10+2 / BTech / MTech / BCA / MCA / BSc or MSc Computer Science Students.
Working Professionals from Corporate.


Course content
19 sections • 81 lectures • 19hrs 45mins

Python Installation and Eclipse Setup - 11mins
Preview
Different Ways to Run Python Code - 10mins
Preview
Keywords in Python - 06mins
Variables in Python - 08mins
Data Types in Python - 20mins
Type Casting in Python - 19mins
Identifiers in Python - 18mins
Operators in Python Part-1 - 28mins
Operators in Python Part-2 - 21mins
id() Function in Python - 05mins
Python Fundamental - 20 mins
print() function (user's output) - 10mins
Take User's Input / input() function - 29mins
if and if...else statement - 24mins
if...elif and nested if statements - 16mins
Quiz - 15 mins
while loop - 22mins
Code Debugging in Python - 08mins
Nested while loop - 19mins
Pattern Programing - 18mins
for loop - 11mins
for with else, nested for loop and range() function - 17mins
break statement in python - 18mins
continue and pass statement in python - 12mins
Comments and multi-line statements in Python - 08mins
Built-in Functions - 26mins
Program to swap two numbers - 07mins
Program to find maximum and minimum number - 03mins
Mutable / Immutable Object Concept - 13mins
math module in Python - 12mins
String Introduction - 11mins
Accessing characters from string and substring from string (String Slicing) - 13mins
String Operations in Python - 09mins
String Methods Part-1 - 16mins
String Methods Part-2 - 31mins
String Module - 07mins
String Formatting - 21mins
List in Python - 12mins
Operations on List and List Methods - 27mins
Tuple in Python - 21mins
Set in Python - 17mins
Set's Methods - 11mins
Frozen Set in Python - 05mins
Dictionary in Python - 17mins
Dictionary's Methods - 21mins
Array in Python - 18mins
List Comprehension in Python - 21mins
Extract digits from string using list comprehension - 03mins
Functions in Python - 17mins
Argument Types in Function - 09mins
Variable Number Of Arguments In Python - 14mins
Lambda Functions - 06mins
Recursion - 26mins
Higher Order Functions In Python - 09mins
Map(), Reduce(), And Filter() Functions In Python - 23mins
Nested Function And Non-Local Variables - 06mins
Closure In Python - 09mins
Decorators In Python - 29mins
Variable Scopes And Globals() Function - 20mins
Module In Python - 17mins
__name__="__main__" - 07mins
OS Module - 24mins
Random Module - 07mins
Read / Write Operations On File - 22mins
Seek() And Tell() Function - 10mins
Shutil Module - 18mins
OOP Introduction - 10mins
Class And Object - 18mins
Instance Variables, Constructor And Self - 10mins
Class Variable in Python - 08mins
Class Method And Static Method In Python - 10mins
Access Modifiers ( Public, Private And Protected ) - 09mins
OOP Concepts, Abstraction, Encapsulation, Inheritance And Polymorphism - 15mins
Inheritance In Python - 11mins
Super() And Constructor In Inheritance - 11mins
Method Resolution Order (MRO) - 05mins
Types Of Inheritance In Python - 09mins
Polymorphims-MethodOverloading - 08mins
Polymorphims-MethodOverriding - 06mins
Operator Overloading - 11mins
Dunder Methods / Magic Methods / Special Methods - 06mins
Exception Handling Introduction - 16mins
Throwing Exception Using 'Raise' Keyword - 06mins

After the completion of this Python Course, you should be able to:

  • Master the Basic and Advanced Concepts of Python.
  • Understand Python Scripts on UNIX/Windows, Python Editors, and IDEs.
  • Master the Concepts of Python fundamentals like keywords, variables, data types, loops, string manipulation, etc.

What you'll learn:

  • In this course, students learn python from basic to advanced.
  • Fundamentals like keywords, variables, data types, type conversion, identifiers, Operators, id () and type () functions, etc.
  • String Manipulations in detail with more than 30 methods with explanations
  • Detail working of Data Structure like list, tuple, set, dictionary, array, etc.
  • Advance topics in detail like Higher Order Functions, Closures, Decorators
  • File handling with examples
  • OOP programming implementation
DL
Daneyal Lari

My name is 'Mohd Daneyal Hasan Lari', I have more than 10+ years of experience as a Lead Trainer in different technologies like C, C++, Data Structure, Core Java, Advance Java, Struts, Hibernate, Spring, Python, Android application development, Testing Automation, Selenium, BDD, Cucumber, API Testing, Rest Assured, etc.


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